Medical images classification using deep learning: a survey
R Kumar, P Kumbharkar, S Vanam… - Multimedia Tools and …, 2024 - Springer
Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …
rapidly evolving and has been used in numerous automated applications with minimal loss …
Classification of brain tumors from MR images using deep transfer learning
Ö Polat, C Güngen - The Journal of Supercomputing, 2021 - Springer
Classification of brain tumors is of great importance in medical applications that benefit from
computer-aided diagnosis. Misdiagnosis of brain tumor type will both prevent the patient …
computer-aided diagnosis. Misdiagnosis of brain tumor type will both prevent the patient …
Automatic brain tumor detection using CNN transfer learning approach
Automatic brain tumor detection is a challenging task as tumors vary in their position, mass,
nature, and similarities found between brain lesions and normal tissues. The tumor detection …
nature, and similarities found between brain lesions and normal tissues. The tumor detection …
Brain Tumor Classification using Deep learning based Novel Hybrid Approach
Brain imaging cancers are classified using machine learning techniques. This research
study suggests a method to extract deep image characteristics using a customized SVM …
study suggests a method to extract deep image characteristics using a customized SVM …
The proposition of Possibilistic sigmoid features and the Shannon-Hanman transform classifier along with the pervasive learning model for the classification of brain …
P Asthana, M Hanmandlu, S Vashisth - Multimedia Tools and Applications, 2022 - Springer
As part of developing a computer-aided diagnosis system for the early
detection/classification of brain tumors, this paper presents an Information set-based …
detection/classification of brain tumors, this paper presents an Information set-based …
Multi-Class Classification Framework for Brain Tumor MR Image Classification by Using Deep CNN with Grid-Search Hyper Parameter Optimization Algorithm
N Mukkapati, MS Anbarasi - International Journal of Computer …, 2022 - koreascience.kr
Histopathological analysis of biopsy specimens is still used for diagnosis and classifying the
brain tumors today. The available procedures are intrusive, time consuming, and inclined to …
brain tumors today. The available procedures are intrusive, time consuming, and inclined to …
Performance analysis of various deep learning techniques for brain tumor classification
Brain MRI image tumors are classified using machine learning techniques in which features
are extracted and given to the classifier for the classification task. The manual extraction of …
are extracted and given to the classifier for the classification task. The manual extraction of …